CSIRO at Context24: Contextualising Scientific Figures and Tables in Scientific Literature
Necva Bölücü, Vincent Nguyen, Roelien Timmer, Huichen Yang, Maciej Rybinski, Stephen Wan, Sarvnaz Karimi
Abstract
Finding evidence for claims from content presented in experimental results of scientific articles is difficult. The evidence is often presented in the form of tables and figures, and correctly matching it to scientific claims presents automation challenges. The Context24 shared task is launched to support the development of systems able to verify claims by extracting supporting evidence from articles. We explore different facets of this shared task modelled as a search problem and as an information extraction task. We experiment with a range of methods in each of these categories for the two sub-tasks of evidence identification and grounding context identification in the Context24 shared task.- Anthology ID:
- 2024.sdp-1.30
- Volume:
- Proceedings of the Fourth Workshop on Scholarly Document Processing (SDP 2024)
- Month:
- August
- Year:
- 2024
- Address:
- Bangkok, Thailand
- Editors:
- Tirthankar Ghosal, Amanpreet Singh, Anita Waard, Philipp Mayr, Aakanksha Naik, Orion Weller, Yoonjoo Lee, Shannon Shen, Yanxia Qin
- Venues:
- sdp | WS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 314–323
- Language:
- URL:
- https://aclanthology.org/2024.sdp-1.30
- DOI:
- Cite (ACL):
- Necva Bölücü, Vincent Nguyen, Roelien Timmer, Huichen Yang, Maciej Rybinski, Stephen Wan, and Sarvnaz Karimi. 2024. CSIRO at Context24: Contextualising Scientific Figures and Tables in Scientific Literature. In Proceedings of the Fourth Workshop on Scholarly Document Processing (SDP 2024), pages 314–323, Bangkok, Thailand. Association for Computational Linguistics.
- Cite (Informal):
- CSIRO at Context24: Contextualising Scientific Figures and Tables in Scientific Literature (Bölücü et al., sdp-WS 2024)
- PDF:
- https://preview.aclanthology.org/autopr/2024.sdp-1.30.pdf